Rodrigo Prado’s Post

The Amazon Athena Neptune connector is an AWS Lambda function that connects Athena to Neptune to query the graph. This post provides a guide to integrate the connector and query Neptune using Gremlin and SPARQL. #aws #awscloud #cloud #amazonathena #amazonneptune #awsglue #intermediate200 #technicalhowto

Data governance is a key enabler for adopting a data-driven culture to drive innovation. Amazon DataZone is a managed data service that makes it easier to catalog, discover, share, and govern data across AWS, on premises, and third-party sources. #aws #awscloud #cloud #advanced300 #amazondatazone #technicalhowto

🎨 Learn how Amazon DataZone uses popular AWS services you may already have in your environment, including Amazon Redshift, Amazon Athena, AWS Glue & AWS Lake Formation, as well as on-premises & third-party sources. 📄 https://go.aws/3US1tuU

🚨 Announcing the newest addition to our data sharing platform 🚨 #Redshift Sharing on Bobsled. Teams that manage data products in the cloud can now securely share data directly to customers in Amazon Redshift using its native #zerocopysharing protocol. With Redshift on Bobsled, you can: - Securely share data to customers in any region of Redshift from Snowflake, BigQuery, AWS S3, Azure Storage, Google Cloud Storage. - Unify and streamline delivery operations across data platforms, cloud storage and SFTP. - Automate fulfillment using the Bobsled API Learn more about how Bobsled supports universal data sharing to Redshift from any major cloud data lake or warehouse here https://hubs.li/Q02Dz8cD0

As data analytics use cases grow, scalability and concurrency become crucial. Amazon Redshift Serverless provides a fully managed, auto scaling cloud data warehouse for high-performance analytics. #aws #awscloud #cloud #advanced300 #amazonredshift #technicalhowto #thoughtleadership

Wondering how to get started with Data Management on Google Cloud. This Article will show you how to Import and Export Data using GCP

Amazon Web Services is making progress on its zero-ETL vision by integrating Aurora and Redshift. This allows combining Auroras transactional data with Redshifts analytics capabilities for holistic insights. #aws #awscloud #cloud #advanced300 #amazonaurora #amazonredshift #postgresqlcompatible #technicalhowto

Curious about how to build a multi-cloud resource data lake for SecOps, ITOps, and FinOps functions and how to normalize the data to perform analytics against it? Check out this Amazon Web Services (AWS) bog post that details how to avoid operational challenges with applications distributed across a cloud estate that spans not only multiple Cloud Service Providers (CSPs) but also regions and accounts on AWS (or Subscriptions and Projects on other providers).

Databricks SQL Serverless is now generally available on Google Cloud! Unlock instant, elastic compute and elevate your data analytics with faster query performance and reduced costs. Focus on delivering insights that drive business value, rather than managing infrastructure. Available across 7 GCP regions and 40+ regions globally, SQL Serverless brings you the best of both worlds—unmatched performance and simplified analytics. Learn more here: https://lnkd.in/gSytwsj3

Databricks SQL Serverless is now generally available on Google Cloud! Unlock instant, elastic compute and elevate your data analytics with faster query performance and reduced costs. Focus on delivering insights that drive business value, rather than managing infrastructure. Available across 7 GCP regions and 40+ regions globally, SQL Serverless brings you the best of both worlds—unmatched performance and simplified analytics. Learn more here: https://lnkd.in/g8qqncDu